News: Geomechanics and Tunnelling 1/2011
Bibliographic record
Abstract
Abstract Crossrail awards the first main contracts for £ 1.25 bn (1.5 bn Euro) / Crossrail vergibt die ersten Hauptbaulose für 1,5 Mrd. Euro Toronto Transit Commission awards contract for the extension of the subway / Toronto Transit Commsission vergibt Auftrag zur Erweiterung der U‐Bahn Further tunnelling starts on the new railway line Ebensfeld‐Erfurt‐Leipzig/Halle / Weitere Tunnelanschläge auf der Eisenbahn‐Neubaustrecke Ebensfeld‐Erfurt‐Leipzig/Halle Breakthrough of the Pinglu Tunnel / Durchschlag Pinglu‐Tunnel ÖBB tunnelling in the Lower Inn Valley complete / ÖBB‐Tunnelbau im Unterinntal abgeschlossen Refurbishment of the Arlberg rail tunnel completed / Sanierung des Arlberg‐Eisenbahntunnels abgeschlossen Roppener Tunnel in complete operation / Roppener Tunnel vollständig im Betrieb Bilfinger Berger sells Valemus Australia / Bilfinger Berger verkauft Valemus Australia Coastal Projects takes over 26 % of Seli / Coastal Projects übernimmt 26 % von Seli Call for papers – Themes for the next issues of Geomechanics and Tunnelling / Themen für die nächsten Ausgaben der “Geomechanics and Tunnelling”
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.169 | 0.123 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".